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Preparing for WGU D514 – Analytical Methods of Healthcare Leaders?

This video walks you through 50 high-yield exam questions covering data types, statistical tests, research methods, analytics, ethics, databases, and quality measures.
Every concept is explained in simple, practical language so you understand why each answer is correct.

Whether you're new to healthcare statistics or strengthening your analytics foundation, this video is your complete D514 exam prep guide.

📊 What You Will Learn in This D514 Video
🔹 Data Types & Measurement Levels

• Nominal, ordinal, interval, and ratio data differences
• Pain scales, satisfaction scores, lab values, error rates
• Continuous vs categorical variables


🔹 Choosing the Correct Statistical Test

• Chi-Square → categorical associations
• ANOVA → compare 3+ group means
• T-tests → paired & independent comparisons
• Z-tests → large samples with known variance
• Mann-Whitney U → non-parametric alternative
• F-tests → compare variances


🔹 Measures of Central Tendency & Spread

• Mean, median, mode → which to use & when
• Range, variance, standard deviation
• 50th percentile = median


🔹 Research Designs & Methods

• Cross-sectional vs longitudinal vs time-series
• Case studies vs RCTs vs meta-analysis
• Confounding variables
• Random assignment → reduces bias


🔹 Predictive Analytics & Advanced Methods

• Predictive modeling for forecasting ED volumes
• Factor analysis → identify important variables
• Risk adjustment → compare outcomes fairly
• Stratification → create homogeneous subgroups


🔹 Database Types & Health Information Systems

• Data warehouses
• Relational databases (linked tables)
• Transactional databases (real-time + rollback)
• Multidimensional databases (OLAP analytics)
• Object-oriented databases (store images, audio, video)
• Flat file databases (simple spreadsheets)


🔹 Healthcare Registries, National Databases & Quality Tools

• NPDB → malpractice & credentialing
• CMS → reimbursement, quality scores
• HCAHPS → standardized patient satisfaction survey
• Disease registries (cancer, trauma)


🔹 Ethical Principles in Research

• Autonomy → informed consent
• Beneficence → act in best interest
• Non-maleficence → do no harm
• Justice → fair selection of participants
• Fidelity → loyalty, truthfulness, advocacy


🎯 Who This Video Is For

WGU Students • Health Informatics Learners • Data Analysts • HIM Professionals • Nursing Students • Anyone preparing for the D514 OA or expanding their healthcare data analytics skills.

By the end of this video, you’ll understand how to correctly apply statistical tests, choose the right data type, interpret research findings, and use analytics concepts required for real-world healthcare decision-making.


00:00 Intro
00:36 1 - 5 questions
11:11 5 - 10 questions
25:55 10 - 15 questions
40:09 15 - 20 questions
55:07 20 - 25 questions
1:10:50 25 - 30 questions
1:40:54 35 - 40 questions
2:11:28 45 - 50 questions
2:30:06 Outro



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